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Atlassian Enables Default Data Collection to Train AI

https://letsdatascience.com/news/atlassian-enables-default-data-collection-to-train-ai-f71343d8
32•kevcampb•1h ago

Comments

kevcampb•1h ago
I really wish I could find a better source to link to for this. By default, all free and paid customers are being opted-in to their data being used for AI training.

All your Confluence pages, Jira tickets, etc.

https://support.atlassian.com/security-and-access-policies/d... describes how to disable this, but it also appears that the setting to disable this doesn't exist (it's not visible on any of our instances).

bradleyankrom•20m ago
Here's another link: https://www.theregister.com/2026/04/18/atlassians_new_data_c...
kevcampb•8m ago
Unfortunately that one has a subheading of "From August 17, the outfit will collect customer metadata by default unless you pay for the top tier"

It's not just metadata, it's all "in-app data"

martinald•19m ago
Atlassian just goes from misstep to misstep. I still use their products quite often. The amount of P0 bugs I experience is absolutely crazy:

- Bitbucket workers are hopelessly out of date (self hosted). We've had to put so many random workarounds in especially for Docker, as they don't keep them up to date enough

- I have had a bug in JIRA for years where I can't reorder a new ticket unless I refresh the page

- Every new feature they introduce into JIRA/Bitbucket over the past couple of years just doesn't work.

- I tried their AI stuff on the free trial, didn't work at all, tried to cancel, can't cancel the free trial online and had to write a load of support tickets (of which the support ticket contact form bugged out multiple times).

Anyone have any insight into why things have got so so dysfunctional? Tech debt? Talent leaving? Both? Even 'bad' enterprise software tends to be able to keep the most basic features running, but Atlassian is a whole new category. If you check their 'community' it is just hundreds/thousands of bugs with workarounds.

mhitza•58s ago
Featureatis. Just keep pumping out features with no thought. Today, probably also AI-coded .

Even in mid-sized projects if you keep pushing for only new features you'll get a similar system. At least my experience in 3 or so midsized projects that I've worked on where nothing else mattered than checking of features from a huge backlog.

huwsername•11m ago
If the rumours of an Anthropic acquisition are true, this makes a lot of sense. Anthropic are probably looking for a clean, high-signal dataset of metadata around business tasks that they can buy.

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